INTRODUCTIONANDGETTINGSTARTED
Why Tableau?
Why Visualization?
The Tableau Product Line
Level Setting –Terminology
Getting Started –creating powerful visualizations quickly
Review of some Key Fundamental Concepts
FILTERING, SORTING& GROUPING
Filtering, Sorting and Grouping are fundamental concepts when working with and analyzing data. We will briefly review these topics as they apply to Tableau:
Advanced options for filtering and hiding
Understanding your many options for ordering and grouping your data: Sort, Groups, Bins, Sets
Understanding how all of these options inter-relate
WORKINGWITHDATA
In the Fundamentals class, we accepted the data for what it is. (With a basic overview of blending and joining data and working with the data engine). In the Advanced class, we will understand the difference between joining and blending data, and when we should do each. We will also consider the implications of working with large data sets, and consider options for when and how to work with extracts and the data engine. We will also investigate best practices in “sharing” data sources for Tableau Server users.
Data Types and Roles:
Dimension versus Measures
Data Types
Discrete versus Continuous
The meaning of pill colors
Database Joins
Data Blending
Working with the Data Engine/Extracts
Scheduling extract updates
Working with Custom SQL
Adding to Context
Switching to Direct Connection
Building meta data via shared Data Source connections
Performance considering and working with big data
OLAP considerations overview
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